Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data.

MLA

Koloi, Angela, et al. “Predicting Early-Stage Coronary Artery Disease Using Machine Learning and Routine Clinical Biomarkers Improved by Augmented Virtual Data.” European Heart Journal. Digital Health, vol. 5, no. 5, Aug. 2024, pp. 542–50. EBSCOhost, https://doi.org/10.1093/ehjdh/ztae049.

APA

Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal. Digital Health, 5(5), 542–550. https://doi.org/10.1093/ehjdh/ztae049

Chicago

Koloi, Angela, Vasileios S Loukas, Cillian Hourican, Antonis I Sakellarios, Rick Quax, Pashupati P Mishra, Terho Lehtimäki, et al. 2024. “Predicting Early-Stage Coronary Artery Disease Using Machine Learning and Routine Clinical Biomarkers Improved by Augmented Virtual Data.” European Heart Journal. Digital Health 5 (5): 542–50. doi:10.1093/ehjdh/ztae049.